PR that makes it possible to use multiple independent row-effects (i.e., crossed/nested and those with structures) in gllvm.
I sacrificed the "dependent.row" option to do this.
VA covariances are over the levels of the random effect now, and independent from the VA covariances for the latent variables. This is in to facilitate extending functionality in the future for correlation between multiple random intercepts.
PR that makes it possible to use multiple independent row-effects (i.e., crossed/nested and those with structures) in gllvm.
I sacrificed the "dependent.row" option to do this.
VA covariances are over the levels of the random effect now, and independent from the VA covariances for the latent variables. This is in to facilitate extending functionality in the future for correlation between multiple random intercepts.